.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/introductory/04.normalization.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_introductory_04.normalization.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_introductory_04.normalization.py:


=============
Normalization
=============

The normalization constant of ternary plots can be modified using
``ternary_sum``.

.. warning::
    Prior to mpltern 1.0.0, the option name was ``ternary_scale``.

.. note::
    The ternary data are automatically normalized with a few exceptions.
    See details in :doc:`../../conventions`.

.. GENERATED FROM PYTHON SOURCE LINES 16-25



.. image-sg:: /gallery/introductory/images/sphx_glr_04.normalization_001.svg
   :alt: 04.normalization
   :srcset: /gallery/introductory/images/sphx_glr_04.normalization_001.svg
   :class: sphx-glr-single-img





.. code-block:: Python

    import matplotlib.pyplot as plt
    from mpltern.datasets import get_spiral


    fig = plt.figure()
    ax = fig.add_subplot(projection='ternary', ternary_sum=100.0)
    t, l, r = get_spiral()
    ax.plot(t, l, r)  # Data are automatically normalized by ``ternary_sum``.
    plt.show()


.. _sphx_glr_download_gallery_introductory_04.normalization.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: 04.normalization.ipynb <04.normalization.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: 04.normalization.py <04.normalization.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_